Polarmetric Consistency Assessment and Calibration Method for Quad-Polarized ScanSAR Based on Cross-Beam Data

The range-dependence on polarization distortion of spaceborne polarimetric synthetic aperture radar (SAR) affects the accuracy of wide-swath polarization applications, such as environmental monitoring, sea ice classification and ocean wave inversion. Traditional calibration methods, assessing the distortion mainly based on ground experiments, suffer from tedious active calibrator deployment work, which are time-consuming and cost-intensive. This paper proposes a novel polarimetric assessment and calibration method for the quad-polarized wide-swath ScanSAR imaging mode. Firstly, by using distributed target data that satisfy the system reciprocity requirement, we assess the polarization distortion matrices for a single beam in the mode. Secondly, we transfer the matrix results from one beam to another by analyzing data from the overlapping region between beams. Thirdly, we calibrate the quad-polarized data and achieve an overall assessment and calibration results. Compared to traditional calibration methods, the presented method focuses on using cross-beam (overlapping area) data to reduce the dependence on active calibrators and avoid conducting calibration work beam-by-beam. The assessment and calibration experiment is conducted on Gaofen-3 quad-polarized ScanSAR experiment mode data. The calibrated images and polarization decomposition results are compared with those from well-calibrated quad-polarized Stripmap mode data located in the same region. The results of the comparison revealed the effectiveness and accuracy of the proposed method.

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Publication Details

Journal
Remote Sensing
Published
2025-10-13
DOI
https://doi.org/10.3390/rs17203420
Primary Topic
Synthetic Aperture Radar (SAR) Applications and Techniques
Type
article
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article

Polarmetric Consistency Assessment and Calibration Method for Quad-Polarized ScanSAR Based on Cross-Beam Data

Liangbo Zhao, Jitong Duan, Songtao Shangguan, Xiaochen Wang et al.
Remote Sensing
Synthetic Aperture Radar (SAR) Applications and Techniques
article

Polarmetric Consistency Assessment and Calibration Method for Quad-Polarized ScanSAR Based on Cross-Beam Data

Liangbo Zhao, Jitong Duan, Songtao Shangguan, Xiaochen Wang, Di Yin, Jili Sun, Lihua Zhong, Wen Hong
article en

Abstract

The range-dependence on polarization distortion of spaceborne polarimetric synthetic aperture radar (SAR) affects the accuracy of wide-swath polarization applications, such as environmental monitoring, sea ice classification and ocean wave inversion. Traditional calibration methods, assessing the distortion mainly based on ground experiments, suffer from tedious active calibrator deployment work, which are time-consuming and cost-intensive. This paper proposes a novel polarimetric assessment and calibration method for the quad-polarized wide-swath ScanSAR imaging mode. Firstly, by using distributed target data that satisfy the system reciprocity requirement, we assess the polarization distortion matrices for a single beam in the mode. Secondly, we transfer the matrix results from one beam to another by analyzing data from the overlapping region between beams. Thirdly, we calibrate the quad-polarized data and achieve an overall assessment and calibration results. Compared to traditional calibration methods, the presented method focuses on using cross-beam (overlapping area) data to reduce the dependence on active calibrators and avoid conducting calibration work beam-by-beam. The assessment and calibration experiment is conducted on Gaofen-3 quad-polarized ScanSAR experiment mode data. The calibrated images and polarization decomposition results are compared with those from well-calibrated quad-polarized Stripmap mode data located in the same region. The results of the comparison revealed the effectiveness and accuracy of the proposed method.

Remote SensingVol. 17(20)
Qilu University of Technology (CN), Chinese Academy of Sciences (CN), China Aerospace Science and Technology Corporation (CN), Qilu Normal University (CN), Aerospace Information Research Institute (CN), Qilu Hospital of Shandong University (CN), University of Chinese Academy of Sciences (CN)
Openalex Percentile: Top 61%
Synthetic Aperture Radar (SAR) Applications and Techniques
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